Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add mphinance/alpha-skills --skill economic-calendar-fetchergit clone --depth 1 https://github.com/mphinance/alpha-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mphinance/alpha-skills/economic-calendar-fetcher)<a href="https://agentmods.dev/skills/mphinance/alpha-skills/economic-calendar-fetcher"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/economic-calendar-fetcher/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mphinance/alpha-skills/economic-calendar-fetcher"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/economic-calendar-fetcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00071 | $0.03283 |
| Opus 5 | $0.00036 | $0.01641 |
| Sonnet 5 | $0.00014 | $0.00657 |
| Haiku 4.5 | $0.00007 | $0.00328 |
Grade A, and why
economic-calendar-fetcher scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
98% identical to economic-calendar-fetcher — 18 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Economic Calendar Fetcher
Overview
Retrieve upcoming economic events and data releases from the Financial Modeling Prep (FMP) Economic Calendar API. This skill fetches scheduled economic indicators including central bank monetary policy decisions, employment reports, inflation data (CPI/PPI), GDP releases, retail sales, manufacturing data, and other market-moving events that impact financial markets.
The skill uses a Python script to query the FMP API and returns raw JSON or text output. The assistant then filters events, assesses market impact, and generates a chronological Markdown report for each scheduled event. No files are generated automatically.
Key Capabilities:
- Fetch economic events for specified date ranges (max 90 days)
- Support flexible API key provision (environment variable or CLI argument)
- Filter by impact level, country, or event type (filtering performed by the assistant)
- Present filtered results as structured Markdown reports with impact analysis (assistant-generated, not script-generated)
- Default to next 7 days for quick market outlook
Data Source:
- FMP Economic Calendar API:
https://financialmodelingprep.com/api/v3/economic_calendar - Covers major economies: US, EU, UK, Japan, China, Canada, Australia
- Event types: Central bank decisions, employment, inflation, GDP, trade, housing, surveys
When to Use This Skill
Use this skill when the user requests:
-
Economic Calendar Queries:
- "What economic events are coming up this week?"
- "Show me the economic calendar for the next two weeks"
- "When is the next FOMC meeting?"
- "What major economic data is being released next month?"
-
Market Event Planning:
- "What should I watch for in the markets this week?"
- "Are there any high-impact economic releases coming?"
- "When is the next jobs report / CPI release / GDP report?"
-
Specific Date Range Requests:
- "Get economic events from January 1 to January 31"
- "What's on the economic calendar for Q1 2025?"
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 368 lines · 71 tokens per session scan A 5a0e2523ead4
economic-calendar-fetcher is a skill published in the GitHub repository mphinance/alpha-skills (22 stars, last pushed 14d ago), licensed MIT. It adds 71 tokens to every session and 3,283 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to economic-calendar-fetcher, differing in 18 lines, and is treated as a copy.
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